Master student at Ensae Paris (National School of Statistics and Economic Administration) in statistics and machine learning.
I am strongly interested in statistics, Machine Learning, Mathematics, Data Science and sport science. I plan to continue my studies and then my professional career in these fields.
- Improving my skills in Machine Learning (scikit learn, PyTorch, Tensor Flow ...) My notes
- Working on a package that finds the optimal routes for electric cars in France
- Statapp during the year (Statapp is an applied statistics project organised at ENSAE. This project takes place during the second year of ENSAE). I work with ENSAE and INRIA on Optimal Transport.
- python
- R
- STATA
- C++
- A project about Bubbles crashes and intermittency in agent based market models Have a look
- Optimising a delivery network in France Have a look
- Understanding the nuts and bolts of statistics, probability and Monte Carlo Methods
- A challenge data organized by ENS and QRT Have a look
- A challenge data organized by ENS and CFM Have a look
- Python project during my first semester about electric cars called PyCar.
- Estimating the survival function of life annuity sellers (just here) and maximum likelihood (just here) as part of a first-year internship at CREST (python and R)
- QRT 2024 challenge
- HI Paris hackathon
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent